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Most startups fail because they don’t understand their users. Frank AI Interviewer solves this by running real customer interviews through video & voice and turning them into instant insights. • Understand users faster • Get real feedback in minutes • Make better product decisions Try it here 👇 Frank...

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Riya Ai

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48,621 görüntüleme • 4 ay önce •via X (Twitter)

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Most AI is built to replace humans. We're building AI to understand them. Introducing Atypica's Subjective World Model. A foundation for understanding how people express themselves, tell their stories, make decisions, and behave under real-world constraints. Not just what users say — but why they choose, hesitate, and act. It powers AI Research, AI Personas, AI Panels, and AI Interviews, helping teams turn user research from a quarterly project into a permanent capability. Watch the video to see how it works and what teams are already building with Atypica. Start to explore this AI-native consumer research platform from here:

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The future of customer research just dropped 🚀 Tired of surveys that feel like pulling teeth… where customers give you polite half-truths? Meet Frank..... the AI Interviewer that runs REAL, adaptive conversations with hundreds of your customers… overnight while you sleep 😴 It asks smart follow-ups, digs deep, and hands you structured insights, full transcripts & highlights in their exact words. No more guessing what to build, fix, or launch next. This is customer-led growth on steroids. Frank AI Researcher Try Frank now
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The future of customer research just dropped 🚀 Tired of surveys that feel like pulling teeth… where customers give you polite half-truths? Meet Frank..... the AI Interviewer that runs REAL, adaptive conversations with hundreds of your customers… overnight while you sleep 😴 It asks smart follow-ups, digs deep, and hands you structured insights, full transcripts & highlights in their exact words. No more guessing what to build, fix, or launch next. This is customer-led growth on steroids. Frank AI Researcher Try Frank now

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Customer research is broken. You know you should talk to users…But interviews are slow, hard to schedule, and never scale. So most teams guess. Frank fixes that. It runs real customer interviews for you — over WhatsApp, via voice, video, or chat — asking smart follow-up questions in real time. Not surveys. Not forms. Actual conversations. - Talk to 100+ customers at once - Uncover motivations, objections, behaviors - Wake up to structured insights the next day Every answer traced back to real conversations. No research team. No scheduling. No guesswork. This is what customer understanding looks like when it finally scales. Try it now:
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Customer research is broken. You know you should talk to users…But interviews are slow, hard to schedule, and never scale. So most teams guess. Frank fixes that. It runs real customer interviews for you — over WhatsApp, via voice, video, or chat — asking smart follow-up questions in real time. Not surveys. Not forms. Actual conversations. - Talk to 100+ customers at once - Uncover motivations, objections, behaviors - Wake up to structured insights the next day Every answer traced back to real conversations. No research team. No scheduling. No guesswork. This is what customer understanding looks like when it finally scales. Try it now:

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Introducing Instant Agents. Your AI team for Shopify that actually does the work: “Build me a PDP for this product.” “Turn this Figma design into a live page.” “Test 3 variants and pick a winner.” “Create better product images.” Done. Instant Agents are there for you 24/7. We’ve trained AI to understand our product. This way you get the true power of AI in combination with the visual control of our no-code builder. Real layouts, real components. Published to Shopify in 1 click.

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Q: How do you decide which customers to listen to? As Superhuman founder & CEO Rahul Vohra puts it: “In a world where you’re drowning in feedback—and most startups are drowning in feedback—you have to filter it down to only the stuff that’s going to increase the number of people who fall in love with your product.” Most startups will listen to all feedback from on-the-fence customers, but this isn’t targeted enough and will often lead to a muddled, incoherent product. As Rahul argues in the clip below, you need to identify the main benefit of your product—for Superhuman this was speed. And then focus on the feedback of on-the-fence users who also view this as the main benefit—there’s often something small holding them back. Users for whom your main benefit does not resonate (e.g. Superhuman users who value offline capabilities rather than speed), are unlikely to ever fall in love with your product. When Superhuman ran this analysis in 2015, they found that the main thing holding back users who viewed speed as the main benefit was their lack of a mobile app. Probing further, they found some less obvious and more interesting requests, such as integrations, attachment handling, calendering, unified inbox and read receipts. With a clear understanding of their main benefit and missing features, they were able to move this cohort of users from on-the-fence into the territory of enthusiastic advocates. As Rahul puts it in his Product Market Fit Engine article: “To increase your product/market fit score, spend half your time doubling down on what users already love and the other half on addressing what’s holding others back.” But make sure you’re focusing on users who love the main benefit of your product. Users who don’t are unlikely to ever fall in love with your product.

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ICYMI: I'm entering a bid led by Frank McCourt to buy TikTok US. I'd love to see an app where users actually own their data and where creators have real control. Because that’s when tech is at its best—when it empowers the *people* who make it an interesting place to be, in the first place! Imagine bringing all those users seamlessly onchain... Let's do this 🔥

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Trading crypto is overwhelming. Too many indicators. Too many tools. Too many tabs. Canza is here to fix it! An AI-powered trading terminal that puts users in full control of their trading experience. Our Features: 🧩 Fully Customizable Canvas Users design their own terminal with drag-and-drop widgets — from charts to DEX/CEX trading modules — offering endless flexibility for users. 🤖 AI Trading Assistant A built-in AI assistant provides real-time market signals, token analytics, and news—and soon, even trading capabilities. All through natural language commands. 🚀 User-Friendly Interface Canza simplifies the trading experience by merging execution, analysis, and insights into one cohesive terminal. Whether you're a newbie or pro, Canza makes trading smarter & simpler. Try our Beta at:
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Trading crypto is overwhelming. Too many indicators. Too many tools. Too many tabs. Canza is here to fix it! An AI-powered trading terminal that puts users in full control of their trading experience. Our Features: 🧩 Fully Customizable Canvas Users design their own terminal with drag-and-drop widgets — from charts to DEX/CEX trading modules — offering endless flexibility for users. 🤖 AI Trading Assistant A built-in AI assistant provides real-time market signals, token analytics, and news—and soon, even trading capabilities. All through natural language commands. 🚀 User-Friendly Interface Canza simplifies the trading experience by merging execution, analysis, and insights into one cohesive terminal. Whether you're a newbie or pro, Canza makes trading smarter & simpler. Try our Beta at:

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Stop using AI like a chatbot. It can literally run your research for you. They don’t work. They just… talk. Until now. I tested a setup that actually executes tasks: → Claude Code plans → XCrawl fetches real-time data → AI analyzes + delivers insights No fluff. Just output. I gave it a real task: “Analyze top candle brands, pricing & trends” What happened next was wild 👇 Instead of guessing: XCrawl: → searched competitors → crawled real product pages → returned structured data Claude: → compared pricing → spotted trends → delivered insights Result (in minutes): - actual price ranges - best-selling product types - real positioning strategies No tabs. No copy-paste. No manual research. This is the real shift: Old AI: “Here’s an answer.” New AI: “I’ve already done the work.” If you’re still using AI like Google… you’re already behind. Try it yourself (free 1,000 credits): Docs:
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Stop using AI like a chatbot. It can literally run your research for you. They don’t work. They just… talk. Until now. I tested a setup that actually executes tasks: → Claude Code plans → XCrawl fetches real-time data → AI analyzes + delivers insights No fluff. Just output. I gave it a real task: “Analyze top candle brands, pricing & trends” What happened next was wild 👇 Instead of guessing: XCrawl: → searched competitors → crawled real product pages → returned structured data Claude: → compared pricing → spotted trends → delivered insights Result (in minutes): - actual price ranges - best-selling product types - real positioning strategies No tabs. No copy-paste. No manual research. This is the real shift: Old AI: “Here’s an answer.” New AI: “I’ve already done the work.” If you’re still using AI like Google… you’re already behind. Try it yourself (free 1,000 credits): Docs:

Shruti Codes

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Most companies don't know what their customers are actually frustrated about. So I built an AI agent called **Customer Pain Point Miner**. Type a company name, and it automatically finds: • Top customer complaints • Features users keep requesting • Recurring frustrations • Product improvement opportunities It scans reviews, Reddit threads, forums, and blogs, then turns thousands of discussions into a sourced report. No surveys. No guessing. Just real customer feedback from across the web. Built it with Nimble Their APIs made it surprisingly easy to search, extract, and structure live web data into something an AI agent can actually reason about. The best roadmap isn't hidden in another brainstorming session. It's already sitting in your customers' conversations.
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Most companies don't know what their customers are actually frustrated about. So I built an AI agent called **Customer Pain Point Miner**. Type a company name, and it automatically finds: • Top customer complaints • Features users keep requesting • Recurring frustrations • Product improvement opportunities It scans reviews, Reddit threads, forums, and blogs, then turns thousands of discussions into a sourced report. No surveys. No guessing. Just real customer feedback from across the web. Built it with Nimble Their APIs made it surprisingly easy to search, extract, and structure live web data into something an AI agent can actually reason about. The best roadmap isn't hidden in another brainstorming session. It's already sitting in your customers' conversations.

Vipin Gautam (Viipin I Gautam)

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Out of all the things we've shipped recently, this one is my favorite. Instant feedback from any type of user... → Create a persona that matches your real users and buyers. → An AI agent takes on that persona. → Point it at any url or prototype. → Get feedback in minutes. This is what the Reforge team built and launched today with Synthetic Users. It's way more than bug reports, but actual strategic product feedback. → A First Timer notices your onboarding language is confusing → A Skeptical Buyer questions whether your pricing page builds enough trust → A Power User finds friction in your core workflow that your team stopped noticing months ago Every finding links to a session replay so you can see exactly where things broke down. This isn't a replacement for talking to real users. It's an acceleration layer. Run synthetic studies to catch issues fast, then reserve human research for the decisions that matter most. This is critical as AI accelerates the amount of product teams are shipping. If you don't also develop ways to validate faster, you'll just ship tons of product debt. Lots of features that few customers use but create massive costs.
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Out of all the things we've shipped recently, this one is my favorite. Instant feedback from any type of user... → Create a persona that matches your real users and buyers. → An AI agent takes on that persona. → Point it at any url or prototype. → Get feedback in minutes. This is what the Reforge team built and launched today with Synthetic Users. It's way more than bug reports, but actual strategic product feedback. → A First Timer notices your onboarding language is confusing → A Skeptical Buyer questions whether your pricing page builds enough trust → A Power User finds friction in your core workflow that your team stopped noticing months ago Every finding links to a session replay so you can see exactly where things broke down. This isn't a replacement for talking to real users. It's an acceleration layer. Run synthetic studies to catch issues fast, then reserve human research for the decisions that matter most. This is critical as AI accelerates the amount of product teams are shipping. If you don't also develop ways to validate faster, you'll just ship tons of product debt. Lots of features that few customers use but create massive costs.

Brian Balfour

19,919 görüntüleme • 6 ay önce

Don’t talk to users? ngmi Today’s launch of AI Feedback is personal. It’s the culmination of my Kraftful journey. We built Kraftful to help teams truly listen to users. Now we’re taking that mission even further at Amplitude with AI Feedback. AI can automate almost everything. But it can’t replace how people *feel* when using your product. For builders, listening to those emotions is how you create something exceptional. Now you can do that right inside Amplitude. Across surveys, support tickets, sales calls, app reviews, Reddit, Discord, X, G2, and more. Connect your sources in minutes and start getting daily insights that used to take hundreds of thousands of hours to analyze manually. Available on every Amplitude plan (even the free one!). Go try it. Listen to your users. Build better.
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Don’t talk to users? ngmi Today’s launch of AI Feedback is personal. It’s the culmination of my Kraftful journey. We built Kraftful to help teams truly listen to users. Now we’re taking that mission even further at Amplitude with AI Feedback. AI can automate almost everything. But it can’t replace how people *feel* when using your product. For builders, listening to those emotions is how you create something exceptional. Now you can do that right inside Amplitude. Across surveys, support tickets, sales calls, app reviews, Reddit, Discord, X, G2, and more. Connect your sources in minutes and start getting daily insights that used to take hundreds of thousands of hours to analyze manually. Available on every Amplitude plan (even the free one!). Go try it. Listen to your users. Build better.

Yana Welinder

316,015 görüntüleme • 9 ay önce

Most ideas don’t fail… they just never get built. I used to think building a product meant months of work, a full dev team, and crazy costs. Then I tried Shipper, You literally just describe your idea and it turns into a working app in minutes. No code, No setup, No excuses, This changes everything. Watch this video 👇 Then go try it yourself, you’ll understand easily, the revolutionary potential of Shipper Shipper #ShipperVideo
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Most ideas don’t fail… they just never get built. I used to think building a product meant months of work, a full dev team, and crazy costs. Then I tried Shipper, You literally just describe your idea and it turns into a working app in minutes. No code, No setup, No excuses, This changes everything. Watch this video 👇 Then go try it yourself, you’ll understand easily, the revolutionary potential of Shipper Shipper #ShipperVideo

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